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Anti-interference Design of Welding Power Supply Controlled by Digital Signal Processor based on Vector Signal Processing

Published: 22 November 2021 Publication History

Abstract

From the development of international welding power supply technology, it is necessary to study welding power supply digitally in order to realize its future digital development. Based on vector signal processing and using DSP's easy signal processing characteristics, the welding power supply can meet the welding process performance requirements of various materials through software programming according to different welding process requirements. The interference sources that affect the normal operation of welding power supply are analyzed in detail, and the measures to prevent interference sources when designing welding power supply are put forward. By feeding back the peak arc current through the average arc voltage, the external characteristic slope of the welding power supply is adjusted, and the automatic adjustment of the arc in the welding process under the condition of full constant current is realized. These design measures can ensure that the welding power supply is free from interference and make the welding machine work normally and reliably.

References

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cover image ACM Other conferences
ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 November 2021

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